Class Model.Builder (2.48.0)

public static final class Model.Builder extends GeneratedMessageV3.Builder<Model.Builder> implements ModelOrBuilder

API proto representing a trained machine learning model.

Protobuf type google.cloud.automl.v1.Model

Implements

ModelOrBuilder

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public Model.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Model.Builder
Overrides

build()

public Model build()
Returns
Type Description
Model

buildPartial()

public Model buildPartial()
Returns
Type Description
Model

clear()

public Model.Builder clear()
Returns
Type Description
Model.Builder
Overrides

clearCreateTime()

public Model.Builder clearCreateTime()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type Description
Model.Builder

clearDatasetId()

public Model.Builder clearDatasetId()

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Returns
Type Description
Model.Builder

This builder for chaining.

clearDeploymentState()

public Model.Builder clearDeploymentState()

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Returns
Type Description
Model.Builder

This builder for chaining.

clearDisplayName()

public Model.Builder clearDisplayName()

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Returns
Type Description
Model.Builder

This builder for chaining.

clearEtag()

public Model.Builder clearEtag()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Returns
Type Description
Model.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public Model.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
Model.Builder
Overrides

clearImageClassificationModelMetadata()

public Model.Builder clearImageClassificationModelMetadata()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type Description
Model.Builder

clearImageObjectDetectionModelMetadata()

public Model.Builder clearImageObjectDetectionModelMetadata()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type Description
Model.Builder

clearLabels()

public Model.Builder clearLabels()
Returns
Type Description
Model.Builder

clearModelMetadata()

public Model.Builder clearModelMetadata()
Returns
Type Description
Model.Builder

clearName()

public Model.Builder clearName()

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Returns
Type Description
Model.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public Model.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
Model.Builder
Overrides

clearTextClassificationModelMetadata()

public Model.Builder clearTextClassificationModelMetadata()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type Description
Model.Builder

clearTextExtractionModelMetadata()

public Model.Builder clearTextExtractionModelMetadata()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type Description
Model.Builder

clearTextSentimentModelMetadata()

public Model.Builder clearTextSentimentModelMetadata()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type Description
Model.Builder

clearTranslationModelMetadata()

public Model.Builder clearTranslationModelMetadata()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type Description
Model.Builder

clearUpdateTime()

public Model.Builder clearUpdateTime()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type Description
Model.Builder

clone()

public Model.Builder clone()
Returns
Type Description
Model.Builder
Overrides

containsLabels(String key)

public boolean containsLabels(String key)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name Description
key String
Returns
Type Description
boolean

getCreateTime()

public Timestamp getCreateTime()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type Description
Timestamp

The createTime.

getCreateTimeBuilder()

public Timestamp.Builder getCreateTimeBuilder()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type Description
Builder

getCreateTimeOrBuilder()

public TimestampOrBuilder getCreateTimeOrBuilder()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type Description
TimestampOrBuilder

getDatasetId()

public String getDatasetId()

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Returns
Type Description
String

The datasetId.

getDatasetIdBytes()

public ByteString getDatasetIdBytes()

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Returns
Type Description
ByteString

The bytes for datasetId.

getDefaultInstanceForType()

public Model getDefaultInstanceForType()
Returns
Type Description
Model

getDeploymentState()

public Model.DeploymentState getDeploymentState()

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Returns
Type Description
Model.DeploymentState

The deploymentState.

getDeploymentStateValue()

public int getDeploymentStateValue()

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Returns
Type Description
int

The enum numeric value on the wire for deploymentState.

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

getDisplayName()

public String getDisplayName()

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Returns
Type Description
String

The displayName.

getDisplayNameBytes()

public ByteString getDisplayNameBytes()

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Returns
Type Description
ByteString

The bytes for displayName.

getEtag()

public String getEtag()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Returns
Type Description
String

The etag.

getEtagBytes()

public ByteString getEtagBytes()

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Returns
Type Description
ByteString

The bytes for etag.

getImageClassificationModelMetadata()

public ImageClassificationModelMetadata getImageClassificationModelMetadata()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type Description
ImageClassificationModelMetadata

The imageClassificationModelMetadata.

getImageClassificationModelMetadataBuilder()

public ImageClassificationModelMetadata.Builder getImageClassificationModelMetadataBuilder()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type Description
ImageClassificationModelMetadata.Builder

getImageClassificationModelMetadataOrBuilder()

public ImageClassificationModelMetadataOrBuilder getImageClassificationModelMetadataOrBuilder()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type Description
ImageClassificationModelMetadataOrBuilder

getImageObjectDetectionModelMetadata()

public ImageObjectDetectionModelMetadata getImageObjectDetectionModelMetadata()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type Description
ImageObjectDetectionModelMetadata

The imageObjectDetectionModelMetadata.

getImageObjectDetectionModelMetadataBuilder()

public ImageObjectDetectionModelMetadata.Builder getImageObjectDetectionModelMetadataBuilder()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type Description
ImageObjectDetectionModelMetadata.Builder

getImageObjectDetectionModelMetadataOrBuilder()

public ImageObjectDetectionModelMetadataOrBuilder getImageObjectDetectionModelMetadataOrBuilder()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type Description
ImageObjectDetectionModelMetadataOrBuilder

getLabels() (deprecated)

public Map<String,String> getLabels()

Use #getLabelsMap() instead.

Returns
Type Description
Map<String,String>

getLabelsCount()

public int getLabelsCount()

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Returns
Type Description
int

getLabelsMap()

public Map<String,String> getLabelsMap()

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Returns
Type Description
Map<String,String>

getLabelsOrDefault(String key, String defaultValue)

public String getLabelsOrDefault(String key, String defaultValue)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameters
Name Description
key String
defaultValue String
Returns
Type Description
String

getLabelsOrThrow(String key)

public String getLabelsOrThrow(String key)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name Description
key String
Returns
Type Description
String

getModelMetadataCase()

public Model.ModelMetadataCase getModelMetadataCase()
Returns
Type Description
Model.ModelMetadataCase

getMutableLabels() (deprecated)

public Map<String,String> getMutableLabels()

Use alternate mutation accessors instead.

Returns
Type Description
Map<String,String>

getName()

public String getName()

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Returns
Type Description
String

The name.

getNameBytes()

public ByteString getNameBytes()

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Returns
Type Description
ByteString

The bytes for name.

getTextClassificationModelMetadata()

public TextClassificationModelMetadata getTextClassificationModelMetadata()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type Description
TextClassificationModelMetadata

The textClassificationModelMetadata.

getTextClassificationModelMetadataBuilder()

public TextClassificationModelMetadata.Builder getTextClassificationModelMetadataBuilder()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type Description
TextClassificationModelMetadata.Builder

getTextClassificationModelMetadataOrBuilder()

public TextClassificationModelMetadataOrBuilder getTextClassificationModelMetadataOrBuilder()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type Description
TextClassificationModelMetadataOrBuilder

getTextExtractionModelMetadata()

public TextExtractionModelMetadata getTextExtractionModelMetadata()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type Description
TextExtractionModelMetadata

The textExtractionModelMetadata.

getTextExtractionModelMetadataBuilder()

public TextExtractionModelMetadata.Builder getTextExtractionModelMetadataBuilder()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type Description
TextExtractionModelMetadata.Builder

getTextExtractionModelMetadataOrBuilder()

public TextExtractionModelMetadataOrBuilder getTextExtractionModelMetadataOrBuilder()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type Description
TextExtractionModelMetadataOrBuilder

getTextSentimentModelMetadata()

public TextSentimentModelMetadata getTextSentimentModelMetadata()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type Description
TextSentimentModelMetadata

The textSentimentModelMetadata.

getTextSentimentModelMetadataBuilder()

public TextSentimentModelMetadata.Builder getTextSentimentModelMetadataBuilder()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type Description
TextSentimentModelMetadata.Builder

getTextSentimentModelMetadataOrBuilder()

public TextSentimentModelMetadataOrBuilder getTextSentimentModelMetadataOrBuilder()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type Description
TextSentimentModelMetadataOrBuilder

getTranslationModelMetadata()

public TranslationModelMetadata getTranslationModelMetadata()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type Description
TranslationModelMetadata

The translationModelMetadata.

getTranslationModelMetadataBuilder()

public TranslationModelMetadata.Builder getTranslationModelMetadataBuilder()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type Description
TranslationModelMetadata.Builder

getTranslationModelMetadataOrBuilder()

public TranslationModelMetadataOrBuilder getTranslationModelMetadataOrBuilder()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type Description
TranslationModelMetadataOrBuilder

getUpdateTime()

public Timestamp getUpdateTime()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type Description
Timestamp

The updateTime.

getUpdateTimeBuilder()

public Timestamp.Builder getUpdateTimeBuilder()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type Description
Builder

getUpdateTimeOrBuilder()

public TimestampOrBuilder getUpdateTimeOrBuilder()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type Description
TimestampOrBuilder

hasCreateTime()

public boolean hasCreateTime()

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Returns
Type Description
boolean

Whether the createTime field is set.

hasImageClassificationModelMetadata()

public boolean hasImageClassificationModelMetadata()

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Returns
Type Description
boolean

Whether the imageClassificationModelMetadata field is set.

hasImageObjectDetectionModelMetadata()

public boolean hasImageObjectDetectionModelMetadata()

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Returns
Type Description
boolean

Whether the imageObjectDetectionModelMetadata field is set.

hasTextClassificationModelMetadata()

public boolean hasTextClassificationModelMetadata()

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Returns
Type Description
boolean

Whether the textClassificationModelMetadata field is set.

hasTextExtractionModelMetadata()

public boolean hasTextExtractionModelMetadata()

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Returns
Type Description
boolean

Whether the textExtractionModelMetadata field is set.

hasTextSentimentModelMetadata()

public boolean hasTextSentimentModelMetadata()

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Returns
Type Description
boolean

Whether the textSentimentModelMetadata field is set.

hasTranslationModelMetadata()

public boolean hasTranslationModelMetadata()

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Returns
Type Description
boolean

Whether the translationModelMetadata field is set.

hasUpdateTime()

public boolean hasUpdateTime()

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Returns
Type Description
boolean

Whether the updateTime field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)
Parameter
Name Description
number int
Returns
Type Description
com.google.protobuf.MapFieldReflectionAccessor
Overrides
com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeCreateTime(Timestamp value)

public Model.Builder mergeCreateTime(Timestamp value)

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name Description
value Timestamp
Returns
Type Description
Model.Builder

mergeFrom(Model other)

public Model.Builder mergeFrom(Model other)
Parameter
Name Description
other Model
Returns
Type Description
Model.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public Model.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
Model.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public Model.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
Model.Builder
Overrides

mergeImageClassificationModelMetadata(ImageClassificationModelMetadata value)

public Model.Builder mergeImageClassificationModelMetadata(ImageClassificationModelMetadata value)

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Parameter
Name Description
value ImageClassificationModelMetadata
Returns
Type Description
Model.Builder

mergeImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

public Model.Builder mergeImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Parameter
Name Description
value ImageObjectDetectionModelMetadata
Returns
Type Description
Model.Builder

mergeTextClassificationModelMetadata(TextClassificationModelMetadata value)

public Model.Builder mergeTextClassificationModelMetadata(TextClassificationModelMetadata value)

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Parameter
Name Description
value TextClassificationModelMetadata
Returns
Type Description
Model.Builder

mergeTextExtractionModelMetadata(TextExtractionModelMetadata value)

public Model.Builder mergeTextExtractionModelMetadata(TextExtractionModelMetadata value)

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Parameter
Name Description
value TextExtractionModelMetadata
Returns
Type Description
Model.Builder

mergeTextSentimentModelMetadata(TextSentimentModelMetadata value)

public Model.Builder mergeTextSentimentModelMetadata(TextSentimentModelMetadata value)

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Parameter
Name Description
value TextSentimentModelMetadata
Returns
Type Description
Model.Builder

mergeTranslationModelMetadata(TranslationModelMetadata value)

public Model.Builder mergeTranslationModelMetadata(TranslationModelMetadata value)

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Parameter
Name Description
value TranslationModelMetadata
Returns
Type Description
Model.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final Model.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Model.Builder
Overrides

mergeUpdateTime(Timestamp value)

public Model.Builder mergeUpdateTime(Timestamp value)

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Parameter
Name Description
value Timestamp
Returns
Type Description
Model.Builder

putAllLabels(Map<String,String> values)

public Model.Builder putAllLabels(Map<String,String> values)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name Description
values Map<String,String>
Returns
Type Description
Model.Builder

putLabels(String key, String value)

public Model.Builder putLabels(String key, String value)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameters
Name Description
key String
value String
Returns
Type Description
Model.Builder

removeLabels(String key)

public Model.Builder removeLabels(String key)

Optional. The labels with user-defined metadata to organize your model.

Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. Label values are optional. Label keys must start with a letter.

See https://goo.gl/xmQnxf for more information on and examples of labels.

map<string, string> labels = 34;

Parameter
Name Description
key String
Returns
Type Description
Model.Builder

setCreateTime(Timestamp value)

public Model.Builder setCreateTime(Timestamp value)

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name Description
value Timestamp
Returns
Type Description
Model.Builder

setCreateTime(Timestamp.Builder builderForValue)

public Model.Builder setCreateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when the model training finished and can be used for prediction.

.google.protobuf.Timestamp create_time = 7;

Parameter
Name Description
builderForValue Builder
Returns
Type Description
Model.Builder

setDatasetId(String value)

public Model.Builder setDatasetId(String value)

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Parameter
Name Description
value String

The datasetId to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setDatasetIdBytes(ByteString value)

public Model.Builder setDatasetIdBytes(ByteString value)

Required. The resource ID of the dataset used to create the model. The dataset must come from the same ancestor project and location.

string dataset_id = 3;

Parameter
Name Description
value ByteString

The bytes for datasetId to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setDeploymentState(Model.DeploymentState value)

public Model.Builder setDeploymentState(Model.DeploymentState value)

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Parameter
Name Description
value Model.DeploymentState

The deploymentState to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setDeploymentStateValue(int value)

public Model.Builder setDeploymentStateValue(int value)

Output only. Deployment state of the model. A model can only serve prediction requests after it gets deployed.

.google.cloud.automl.v1.Model.DeploymentState deployment_state = 8;

Parameter
Name Description
value int

The enum numeric value on the wire for deploymentState to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setDisplayName(String value)

public Model.Builder setDisplayName(String value)

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Parameter
Name Description
value String

The displayName to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setDisplayNameBytes(ByteString value)

public Model.Builder setDisplayNameBytes(ByteString value)

Required. The name of the model to show in the interface. The name can be up to 32 characters long and can consist only of ASCII Latin letters A-Z and a-z, underscores (_), and ASCII digits 0-9. It must start with a letter.

string display_name = 2;

Parameter
Name Description
value ByteString

The bytes for displayName to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setEtag(String value)

public Model.Builder setEtag(String value)

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Parameter
Name Description
value String

The etag to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setEtagBytes(ByteString value)

public Model.Builder setEtagBytes(ByteString value)

Used to perform a consistent read-modify-write updates. If not set, a blind "overwrite" update happens.

string etag = 10;

Parameter
Name Description
value ByteString

The bytes for etag to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setField(Descriptors.FieldDescriptor field, Object value)

public Model.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
Model.Builder
Overrides

setImageClassificationModelMetadata(ImageClassificationModelMetadata value)

public Model.Builder setImageClassificationModelMetadata(ImageClassificationModelMetadata value)

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Parameter
Name Description
value ImageClassificationModelMetadata
Returns
Type Description
Model.Builder

setImageClassificationModelMetadata(ImageClassificationModelMetadata.Builder builderForValue)

public Model.Builder setImageClassificationModelMetadata(ImageClassificationModelMetadata.Builder builderForValue)

Metadata for image classification models.

.google.cloud.automl.v1.ImageClassificationModelMetadata image_classification_model_metadata = 13;

Parameter
Name Description
builderForValue ImageClassificationModelMetadata.Builder
Returns
Type Description
Model.Builder

setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

public Model.Builder setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata value)

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Parameter
Name Description
value ImageObjectDetectionModelMetadata
Returns
Type Description
Model.Builder

setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata.Builder builderForValue)

public Model.Builder setImageObjectDetectionModelMetadata(ImageObjectDetectionModelMetadata.Builder builderForValue)

Metadata for image object detection models.

.google.cloud.automl.v1.ImageObjectDetectionModelMetadata image_object_detection_model_metadata = 20;

Parameter
Name Description
builderForValue ImageObjectDetectionModelMetadata.Builder
Returns
Type Description
Model.Builder

setName(String value)

public Model.Builder setName(String value)

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Parameter
Name Description
value String

The name to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setNameBytes(ByteString value)

public Model.Builder setNameBytes(ByteString value)

Output only. Resource name of the model. Format: projects/{project_id}/locations/{location_id}/models/{model_id}

string name = 1;

Parameter
Name Description
value ByteString

The bytes for name to set.

Returns
Type Description
Model.Builder

This builder for chaining.

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public Model.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
Model.Builder
Overrides

setTextClassificationModelMetadata(TextClassificationModelMetadata value)

public Model.Builder setTextClassificationModelMetadata(TextClassificationModelMetadata value)

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Parameter
Name Description
value TextClassificationModelMetadata
Returns
Type Description
Model.Builder

setTextClassificationModelMetadata(TextClassificationModelMetadata.Builder builderForValue)

public Model.Builder setTextClassificationModelMetadata(TextClassificationModelMetadata.Builder builderForValue)

Metadata for text classification models.

.google.cloud.automl.v1.TextClassificationModelMetadata text_classification_model_metadata = 14;

Parameter
Name Description
builderForValue TextClassificationModelMetadata.Builder
Returns
Type Description
Model.Builder

setTextExtractionModelMetadata(TextExtractionModelMetadata value)

public Model.Builder setTextExtractionModelMetadata(TextExtractionModelMetadata value)

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Parameter
Name Description
value TextExtractionModelMetadata
Returns
Type Description
Model.Builder

setTextExtractionModelMetadata(TextExtractionModelMetadata.Builder builderForValue)

public Model.Builder setTextExtractionModelMetadata(TextExtractionModelMetadata.Builder builderForValue)

Metadata for text extraction models.

.google.cloud.automl.v1.TextExtractionModelMetadata text_extraction_model_metadata = 19;

Parameter
Name Description
builderForValue TextExtractionModelMetadata.Builder
Returns
Type Description
Model.Builder

setTextSentimentModelMetadata(TextSentimentModelMetadata value)

public Model.Builder setTextSentimentModelMetadata(TextSentimentModelMetadata value)

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Parameter
Name Description
value TextSentimentModelMetadata
Returns
Type Description
Model.Builder

setTextSentimentModelMetadata(TextSentimentModelMetadata.Builder builderForValue)

public Model.Builder setTextSentimentModelMetadata(TextSentimentModelMetadata.Builder builderForValue)

Metadata for text sentiment models.

.google.cloud.automl.v1.TextSentimentModelMetadata text_sentiment_model_metadata = 22;

Parameter
Name Description
builderForValue TextSentimentModelMetadata.Builder
Returns
Type Description
Model.Builder

setTranslationModelMetadata(TranslationModelMetadata value)

public Model.Builder setTranslationModelMetadata(TranslationModelMetadata value)

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Parameter
Name Description
value TranslationModelMetadata
Returns
Type Description
Model.Builder

setTranslationModelMetadata(TranslationModelMetadata.Builder builderForValue)

public Model.Builder setTranslationModelMetadata(TranslationModelMetadata.Builder builderForValue)

Metadata for translation models.

.google.cloud.automl.v1.TranslationModelMetadata translation_model_metadata = 15;

Parameter
Name Description
builderForValue TranslationModelMetadata.Builder
Returns
Type Description
Model.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final Model.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
Model.Builder
Overrides

setUpdateTime(Timestamp value)

public Model.Builder setUpdateTime(Timestamp value)

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Parameter
Name Description
value Timestamp
Returns
Type Description
Model.Builder

setUpdateTime(Timestamp.Builder builderForValue)

public Model.Builder setUpdateTime(Timestamp.Builder builderForValue)

Output only. Timestamp when this model was last updated.

.google.protobuf.Timestamp update_time = 11;

Parameter
Name Description
builderForValue Builder
Returns
Type Description
Model.Builder